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» Processing of Data Streams with Prediction Functions
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139
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EDBT
2004
ACM
110views Database» more  EDBT 2004»
16 years 3 months ago
Using Convolution to Mine Obscure Periodic Patterns in One Pass
The mining of periodic patterns in time series databases is an interesting data mining problem that can be envisioned as a tool for forecasting and predicting the future behavior o...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
131
Voted
ICMCS
2005
IEEE
110views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Electronic Chronicles: Empowering Individuals, Groups, and Organizations
Continuing strides in processing, storage, sensing, and networking technologies are enabling people to capture their activities and experiences as greater volumes of ever-richer m...
Gopal Pingali, R. Jain
ISSS
1995
IEEE
161views Hardware» more  ISSS 1995»
15 years 7 months ago
Synthesis of pipelined DSP accelerators with dynamic scheduling
To construct complete systems on silicon, application speci c DSP accelerators are needed to speed up the execution of high throughput DSP algorithms. In this paper, a methodology...
Patrick Schaumont, Bart Vanthournout, Ivo Bolsens,...
129
Voted
SIGMOD
2000
ACM
133views Database» more  SIGMOD 2000»
15 years 7 months ago
Data Mining on an OLTP System (Nearly) for Free
This paper proposes a scheme for scheduling disk requests that takes advantage of the ability of high-level functions to operate directly at individual disk drives. We show that s...
Erik Riedel, Christos Faloutsos, Gregory R. Ganger...
130
Voted
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
15 years 9 months ago
Active Learning Driven Data Acquisition for Sensor Networks
Online monitoring of a physical phenomenon over a geographical area is a popular application of sensor networks. Networks representative of this class of applications are typicall...
Anish Muttreja, Anand Raghunathan, Srivaths Ravi, ...